A fuzzy qualitative approach for scene classification

• Main Authors: Lim, C.H., Chan, C.S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2012
• Subjects: T Technology (General)
• Online Access: http://eprints.um.edu.my/14091/1/426.pdf; http://eprints.um.edu.my/14091/
• Institution: Universiti Malaya

Scene classification has been studied extensively in the recent past. Most of the state-of-the-art solutions assumed that scene classes are mutually exclusive. However, this is not true as a scene image may belongs to multiple classes and different people are tend to respond inconsistently even given a same scene image. In this paper, we propose a fuzzy qualitative approach to address this problem. That is, we first adopted the fuzzy quantity space to model the training data. Secondly, we present a novel weight function, w to train a fuzzy qualitative scene model in the fuzzy qualitative states. Finally, we introduce fuzzy qualitative partition to perform the scene classification. Empirical results using a standard data set and a comparison with K-nearest neighbour has shown the effectiveness and robustness of the proposed method.